Explains Microsoft Agent Framework's human-in-the-loop primitives for durable, auditable workflows that pause for human judgment.
A developer shares their workflow using Claude Code, explaining why they prefer auto mode over plan mode and how to control AI interactions.
Explains the importance of transparency in AI agent systems, including logging, audit trails, and human oversight for debugging.
Ethan Mollick reflects on AI's rapid evolution from chatbots to digital coworkers, highlighting the changing role of human oversight.
Explores implementing a 'human-in-the-loop' tool for AI agents using Python async and DSPy, enabling agents to ask users clarifying questions.
An overview of Generative AI and an introduction to building AI agents using Python and the LangGraph library.
